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Data Scientist Jobs in Nebraska (NOW HIRING)

Data Scientist Lincoln, Nebraska, USA DESCRIPTION: The Data Scientist may be responsible for any of the following tasks: Analyzing data that is collected in our current and future products and ...

Data Scientist

Omaha, NE

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Data Scientist

Omaha, NE · On-site

$107K - $195K/yr

Join Leidos as a Data Scientist and Help Drive Cutting-Edge Analytics Leidos is seeking a forward-thinking Data Scientist with a strong foundation in statistical analysis, data ingestion and ...

Data Scientist Location: In Person: Falls Church, VA | Ft. Meade, MD | Stuttgart, Baden-Wurttemberg, Germany | Tampa, FL | Honolulu (Camp H.M. Smith), HI | Colorado Springs, CO | Doral (Miami area ...

A Journeyman Data Scientist is typically a mid-level professional who works independently on data science projects, develops predictive models, analyzes complex datasets, and collaborates with ...

Data Scientist Clearance: DoD Active Top Secret Location: Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role ...

Data Scientist Clearance: DoD Active Top Secret Location: Omaha, NE Overview: As a Data Scientist at Agile Defense, you will be joining a team of professionals that build AI/ML solutions. This role ...

Data Scientist Apply now Job no: 504773 Work type: Full Time Regular Location: Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science team who bridges the ...

As a Data Scientist, you will build AI/ML solutions and support business decisions through advanced analytics and predictive modeling. Responsibilities : • Conduct deep-dive analyses to understand ...

They are seeking a Data Scientist to build AI/ML solutions that enhance understanding of customers, markets, and operations through advanced analytics and machine learning, collaborating closely with ...

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial ...

New

SME Data Scientist

NE

$140K - $160K/yr

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial ...

New

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial ...

New

SME Data Scientist

NE · On-site

$140K - $160K/yr

I2X Technologies is seeking a Data Scientist Job Duties: Our team needs a full-time AI/ML Engineer. In this role, you will be responsible for software development and design for Artificial ...

New

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says ...

The Data Science and Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says ...

Principal Data Scientist Apply now Job no: 504903 Work type: Full Time Regular Location: Remote Categories: Information Technology We're currently seeking a Principal Data Scientist specializing in ...

The Senior P&C Data Scientist owns the development and improvement of analytical models and insights that inform pricing, underwriting, and portfolio management decisions. This role applies ...

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Data Scientist information

See Nebraska salary details

$35.8K

$117K

$187.4K

How much do data scientist jobs pay per year?

As of Aug 3, 2026, the average yearly pay for data scientist in Nebraska is $117,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,900.00 and $129,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What Do Data Scientists Do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What careers can I do with data science?

Data scientists can pursue careers in fields such as machine learning engineering, data analysis, business intelligence, data engineering, and research roles. These positions often require skills in programming, statistical analysis, and tools like Python, R, or SQL, and may involve working in industries like finance, healthcare, technology, or marketing.

Is a data scientist job still in-demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and the field continues to grow as organizations seek to leverage big data for competitive advantage.

What are Data Scientists?

Data Scientists are professionals who use statistical, analytical, and programming skills to collect, analyze, and interpret large volumes of data. They extract insights and trends from complex data sets to help organizations make data-driven decisions. Data Scientists often work with machine learning, data mining, and big data technologies to build predictive models and solve business problems. Their work bridges the gap between technical data analysis and actionable business strategy.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

Is 30 too late for data science?

Data scientists can enter the field at any age, including 30 or older, as success depends on skills, experience, and continuous learning. Many professionals transition into data science from different backgrounds by acquiring relevant skills such as programming, statistics, and machine learning through courses or certifications. Age is not a barrier if you develop a strong portfolio and stay current with industry tools and techniques.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

What are some typical projects Data Scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.
What are the most commonly searched types of Data Scientist jobs in Nebraska? The most popular types of Data Scientist jobs in Nebraska are:
What cities in Nebraska are hiring for Data Scientist jobs? Cities in Nebraska with the most Data Scientist job openings:
What are popular job titles related to Data Scientist jobs in NE? For Data Scientist jobs in NE, the most frequently searched job titles are:
Infographic showing various Data Scientist job openings in Nebraska as of July 2026, with employment types broken down into 1% As Needed, 78% Full Time, 13% Part Time, and 8% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $117,025 per year, or $56.3 per hour.

Full-time

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Job description

Data Scientist
Lincoln, Nebraska, USA
DESCRIPTION:
The Data Scientist may be responsible for any of the following tasks: Analyzing data that is collected in our current and future products and services, Develop statistical and machine learning models using state of the art Machine Learning and AI technologies, Visualize insights for business actions and collaborate with Software Developers to implement into our products and services. The Data Scientist would need to be able to apply the data analysis, models, and software to the markets our products are in for us to better serve our customers. The Data Scientist must have good communication and organization skills, along with a working knowledge of day-to-day operations and priorities within their department and the company. Assume other duties as assigned.
Now offering a 4.5-day workweek!
QUALIFICATIONS:
• Completed Post Secondary Degree in Data Science, Mathematics or Statistics preferred or any other quantitative discipline
• Strong proficiencies in Python or R, and various libraries/packages
• Ability to gain knowledge of the products and customers of the Auction and Heavy Equipment industries
• Technical understanding regarding data models, database design and development, data mining and segmentation techniques
• General understanding of Machine Learning and AI tools and frameworks
• Knowledge of statistics and experience using statistical packages for analyzing large datasets
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Experience with SQL, stored procedures, or APIs preferred
• Knowledge of Data Ops and Data Management tools, such as Docker, Jenkins and Spark.
• Adept at generating reports and presenting findings in an understandable manner
• Excellent oral and written communication skills
• Able to work independently and communicate within a team environment
• Results oriented
• Flexible and open to change
• Stable and progressive work history
• Professional appearance and demeanor
• Ability to travel by air and ground -- valid driver's license required
• Able to work with minimal supervision
• In Office Position. 4.5 day regular work week. Ability to commute daily to local office is required.

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